Crossian ★ 3.8

ABOUT THE ROLE
At Crossian, data science is not just analytics, it's a strategic lever powering our global eCommerce engine. As we grow from a $200M valuation toward $1B, the Data & AI Team plays a central role in designing models and optimization engines that fuel revenue, efficiency, and growth at scale.
As a Data Scientist, you will translate real business challenges into elegant analytical frameworks and machine learning solutions. From rigorous A/B testing to predictive modeling, from optimization algorithms to supply chain forecasting, your insights and models will directly influence how we acquire customers, plan inventory, price products, and build smarter features.
You'll work cross-functionally with product, marketing, operations, and engineering teams to ensure your models are not only technically excellent but also business-relevant and production-ready.
If you're passionate about solving high-impact business problems with data, Crossian is the place to make it happen.
WHAT YOU CAN EXPECTWHAT WE ARE LOOKING FOR
Education & Experience
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
• Senior level: 5+ years of hands-on experience in data science or applied ML roles, preferably in eCommerce, adtech, fintech, or supply chain.
• Intermediate level: 3+ years of relevant experience with at least one deployed solution or experimentation framework.
Technical Proficiency
• Strong Python or R skills (e.g., scikit-learn, NumPy, pandas, statsmodels, TensorFlow, PyTorch).
• Advanced SQL for data extraction, joining, and preprocessing.
• Deep understanding of statistical inference, hypothesis testing, experimental design, and optimization.
• Familiarity with cloud-based platforms (AWS/GCP) and version control (Git).
Soft Skills & Mindset
• Clear, structured communication with both technical and non-technical audiences.
• Curiosity to dig into ambiguous problems and turn them into measurable, data-driven solutions.
• Collaborative spirit; ability to work in Agile squads with product managers, engineers, and analysts.
Preferred (Not Required)
• Prior experience in eCommerce, logistics, or pricing optimization.
• Familiarity with tools like MLflow, SageMaker, Vertex AI, Airflow.
• Publications, open-source contributions, or ML competition experience (e.g., Kaggle, NeurIPS).Thưởng
Performance bonuses worth up to 30 months of pay per year.
Khác
GPU credits for side projects.
Conference budget.